linkedin-humanizer

# LinkedIn Humanizer V2 Rewrites any text to remove AI tells. Based on Wikipedia's "Signs of AI writing" taxonomy plus 2026 LinkedIn-specific patterns. **V2 (2026-04-27):** rules now split into 3 tiers so you can pick which signals you trust. ## What changed in V2 The previous version applied every rule equally. We learned that some rules catch real AI output and some catch good human writing. So: - **Forensic** rules catch real AI signals nobody else produces. Always on. - **Strict** rules catch corporate-speak that's bad style regardless of who wrote it. On by default. - **Aesthetic** rules catch patterns that AI uses but humans also use legitimately (em dashes, rule of three, "robust"). Off by default. Opt in if you want maximum scrub. See `sub-skills/rules-explainer.md` for per-rule justification, defenses, and citations. ## When to use - Before publishing any AI-drafted post or comment (rewrite mode) - Pre-publish review of a finished draft (audit mode, see `sub-skills/post-audit.md`) - When a draft feels off and you can't pinpoint why ## Input Any text (post, comment, reply, DM). Optional: target voice samples (past human posts by the user). ## Output - Rewritten text with AI tells removed - Diff showing what changed and why - Per-sentence perplexity estimate (higher = more human) - Confidence: "human", "mixed", "AI-likely" - Tier applied (which mode was used) ## Modes ```bash # Default: forensic + strict (recommended for LinkedIn) linkedin-humanizer <text>...